Integrating AI Tools across the Psycho-Oncology Continuum: From Biomarker Detection to Patient Rehabilitation

Abstract

The concept of psycho-oncology revolves around addressing the emotional, social, and psychological challenges faced by individuals with cancer. Artificial intelligence (AI) can be integrated within this field since it offers distress screening, enhanced medicinal decision-making, and digitally based rehabilitation systems. The purpose of this study is to explore the prospective role of AI within the psycho-oncology continuum through the Partial Least Squares Structural Equation Modelling (PLS-SEM) method. The analysis is based on 100 responses that were measured using 15 Likert-scale indicators and organized into three reflective constructs labelled R1, R2, and R3. According to the model’s measurements, the internal consistency of the model was in order, with a Cronbach’s alpha of 0.881, 0.914, and 0,884 for R1, R2, and R3 respectively. In a similar vein, the values of composite reliability ranged from 0.900 to 0.929, while the average variance extracted (AVE) had its range of values from 0.678 to 0.744. Additionally, the HTMT values of 0.620, 0.371, and 0.543 supported discriminant validity. The positive paths between R1 and R2 (β = 0.575) and R1 and R3 (β = 0.348) were observed within the structural model. R1 exemplified 33.1% of the variance in R2 and 12.1% of the variance in R3. Thus, the findings collected through the PLS-SEM process offer preliminary evidence that the integration of AI is associated with improved patient and clinician outcomes in the context of psycho-oncology. However, the model didn’t cover all aspects such as accounting for the influence of socioeconomic factors, comparing the proposed system with text-only AI, or assessing system readiness independently of patient autonomy. Therefore, although a relationship can be established between the use of AI and the enhancement of psycho-oncological healthcare systems, further research with comprehensive data and detailed models is required to create casual relationships through comparative effectiveness.